AI detection, also known as AI-based detection, refers to the use of artificial intelligence algorithms to identify and analyze patterns in data to detect anomalies, fraud, security threats, or other outlying events

AI detection, also known as AI-based detection, refers to the use of artificial intelligence algorithms to identify and analyze patterns in data to detect anomalies, fraud, security threats, or other outlying events. This detection method can be applied to various industries, such as cybersecurity, healthcare, finance, and more, to enhance accuracy and efficiency in detecting irregularities or potential risks. AI detection typically involves machine learning techniques, such as supervised and unsupervised learning, to train models that can automatically identify outliers or deviations from normal behavior. This technology is crucial in improving cybersecurity defenses, fraud detection, and threat prevention in the digital age.